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Record W2094450014 · doi:10.1179/cmq.2000.39.1.113

Entrainment From A Flat Liquid-Liquid Interface

2000· article· en· W2094450014 on OpenAlexfundno aff
M. H. I. Baird, N. V. Rama Rao, Catalina Díaz, S. W. Marcuson

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2000
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
FundersMcMaster University
KeywordsEntrainment (biomusicology)ChemistryMineralogyMechanicsGeologyPhysics

Abstract

fetched live from OpenAlex

The entrainment of water into a stream of light mineral oil has been studied in a laboratory scale cell measuring 40×25×15 cm. Oil is continuously passed through the cell in which a stratified oil/water system is maintained. The exit flow of oil is found to entrain a small proportion of water depending on the distance z of the interface below the centre of the exit duct. In most cases the entrainment occurs when the interface is significantly below the bottom of the exit duct. The threshold interface level (zc) for entrainment has been measured for several exit duct configurations as a function of oil flow rate and compared with a hydrodynamic prediction. This threshold and the rates of entrainment are strongly affected by the configuration of the exit duct. The laboratory scale results have been discussed in relation to the entrainment of matte into slag leaving the Inco Flash Furnace. Operating recommendations have been made to reduce the losses of matte by entrainment.On a étudié l'entraînement d'eau dans un courant d'huile minérale légère. Pour ce faire, on a utilisé une cellule à l'échelle du laboratoire mesurant 40 × 25 × 15 cm. L'huile circulait continuellement à travers la cellule dans laquelle on maintenait un système stratifié huile/eau. On a trouvé que l'écoulement de sortie de l'huile entraînait une petite proportion d'eau, dépendant de la distance z de l'interface sous la ligne de centre de la conduite de sortie. Dans la plupart des cas, l'entraînement se produisait quand l'interface était située significativement au-dessous du niveau inférieur de la conduite de sortie. On a mesuré le niveau d'interface limite d'entraînement (zc), sous plusieurs configurations de la conduite de sortie, en fonction du taux d'écoulement d'huile, et on l'a comparé avec un modèle hydrodynamique. Cette limite ainsi que les taux d'entraînement étaient fortement affectés par la configuration de la conduite de sortie. On discute des résultats à l'échelle du laboratoire en relation avec l'entraînement de matte dans la scorie sortant de la fournaise “Flash” d'Inco. On fait également des recommandations d'opération afin de réduire les pertes de matte par entraînement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.198
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2000
Admission routes1
Has abstractyes

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